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Can Lionel Messi's brain slow down time passing?
Jafari S & Smith L (2016) Can Lionel Messi's brain slow down time passing?. Chronobiology International, 33 (4), pp. 462-463. https://doi.org/10.3109/07420528.2016.1154570
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Can Lionel Messi's brain slow down time passing?
Jafari S & Smith L (2016) Can Lionel Messi's brain slow down time passing?. Chronobiology International, 33 (4), pp. 462-463. https://doi.org/10.3109/07420528.2016.1154570
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Farooq K & Hussain A (2016) A novel ontology and machine learning driven hybrid cardiovascular clinical prognosis as a complex adaptive clinical system. Complex Adaptive Systems Modeling, 4, Art. No.: 12. https://doi.org/10.1186/s40294-016-0023-x
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On graphs with just three distinct eigenvalues
Rowlinson P (2016) On graphs with just three distinct eigenvalues. Linear Algebra and Its Applications, 507, pp. 462-473. https://doi.org/10.1016/j.laa.2016.06.031
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McQuistin S, Perkins C & Fayed M (2016) TCP Goes to Hollywood. In: NOSSDAV '16 Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video. 26th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2016, Klagenfurt, Austria, 10.05.2016-13.05.2016. New York: ACM, pp. 25-30. https://doi.org/10.1145/2910642.2910648
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Evaluating automated goals for home care support
Lawrence J & Turner KJ (2016) Evaluating automated goals for home care support. Journal of Assistive Technologies, 10 (2), pp. 79-91. https://doi.org/10.1108/JAT-01-2016-0001
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Enright J & Faben JD (2016) Building a Better Mouse Maze. In: Demaine ED E & Grandoni F (eds.) 8th International Conference on Fun with Algorithms, FUN 2016, June 8–10, 2016, La Maddalena, Italy. LIPIcs: Leibniz International Proceedings in Informatics. 8th International Conference on Fun with Algorithms, La Maddalena, Italy, 08.06.2016-10.06.2016. Saarbrucken/Wadern, Germany: Dagstuhl Publishing, pp. 15:1-15:12. http://www2.idsia.ch/cms/fun16/; https://doi.org/10.4230/LIPIcs.FUN.2016.15
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A Targeted Estimation of Distribution Algorithm Compared to Traditional Methods in Feature Selection
Neumann G & Cairns D (2016) A Targeted Estimation of Distribution Algorithm Compared to Traditional Methods in Feature Selection. In: Madani K, Dourado A, Rosa A, Filipe J & Kacprzyk J (eds.) Computational Intelligence: Revised and Selected Papers of the International Joint Conference, IJCCI 2013, Vilamoura, Portugal, September 20-22, 2013. Studies in Computational Intelligence, 613. 5th International Joint Conference on Computational Intellegience, IJCCI 2013, Vilamoura, Portugal, 20.09.2013-22.09.2013. Cham, Switzerland: Springer, pp. 83-103. http://link.springer.com/chapter/10.1007/978-3-319-23392-5_5; https://doi.org/10.1007/978-3-319-23392-5_5
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Opening the Black Box: Analysing MLP Functionality Using Walsh Functions
Swingler K (2016) Opening the Black Box: Analysing MLP Functionality Using Walsh Functions. In: Merelo J, Rosa A, Cadenas J, Dourado A, Madani K & Filipe J (eds.) Computational Intelligence. Studies in Computational Intelligence, 620. International Joint Conference on Computational Intelligence (IJCCI) 2014, Rome, Italy, 22.10.2014-24.10.2014. Cham, Switzerland: Springer, pp. 303-323. https://doi.org/10.1007/978-3-319-26393-9_18
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Agbakoba R, McGee-Lennon M, Bouamrane M, Watson N & Mair FS (2016) Implementation factors affecting the large-scale deployment of digital health and well-being technologies: A qualitative study of the initial phases of the ‘Living-It-Up’ programme. Health Informatics Journal, 22 (4), pp. 867-877. https://doi.org/10.1177/1460458215594651
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Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms
Elawady M, Barat C, Ducottet C & Colantoni P (2016) Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms. In: Blanc-Talon J, Distante C, Philips W, Popescu D & Scheunders P (eds.) Advanced Concepts for Intelligent Vision Systems. ACIVS 2016. Lecture Notes in Computer Science, 10016. ACIVS 2016: International Conference on Advanced Concepts for Intelligent Vision Systems, Leece, Italy, 24.10.2016-27.10.2016. Cham, Switzerland: Springer International Publishing, pp. 14-24. https://doi.org/10.1007/978-3-319-48680-2_2
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Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images
Elawady M, Sadek I, Shabayek AER, Pons G & Ganau S (2016) Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images. In: Campilho A & Karray F (eds.) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science, 9730. ICIAR 2016: International Conference on Image Analysis and Recognition, Póvoa de Varzim, Portugal, 13.07.2016-15.07.2016. Cham, Switzerland: Springer International Publishing, pp. 206-213. https://doi.org/10.1007/978-3-319-41501-7_24
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On tensor decomposition, sparse interpolation and Padé approximation
Cuyt A, Lee W & Yang X (2016) On tensor decomposition, sparse interpolation and Padé approximation. Jaen Journal on Approximation, 8 (1), pp. 33-58. http://www.ujaen.es/revista/jja/pdf/pre/jja-0008-01-16-3.pdf
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Denholm SJ, Hoyle A, Shinn A, Paladini G, Taylor NGH & Norman R (2016) Predicting the potential for natural recovery of Atlantic salmon (Salmo salar L.) populations following the introduction of Gyrodactylus salaris Malmberg, 1957 (Monogenea). PLoS ONE, 11 (12), Art. No.: e0169168. https://doi.org/10.1371/journal.pone.0169168
Newspaper / Magazine
Food security and why Christmas dinner is in peril
Norman R (2016) Food security and why Christmas dinner is in peril. The Conversation. 21.12.2016. https://theconversation.com/food-security-and-why-christmas-dinner-is-in-peril-70689
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An exploratory case study of interactive simulation for teaching Ecology
Ameerbakhsh O, Maharaj S, Hussain A, Paine CET & Taiksi S (2016) An exploratory case study of interactive simulation for teaching Ecology. In: 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET). ITHET 2016: 15th International Conference on Information Technology Based Higher Education and Training, Istanbul, Turkey, 08.09.2016-10.09.2016. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ITHET.2016.7760725
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Optimising Antibiotic Usage to Treat Bacterial Infections
Paterson IK, Hoyle A, Ochoa G, Baker-Austin C & Taylor NGH (2016) Optimising Antibiotic Usage to Treat Bacterial Infections. Scientific Reports, 6, Art. No.: 37853. https://doi.org/10.1038/srep37853
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From cells as computation to cells as apps
Bracciali A, Cataldo E, Damiano L, Felicioli C, Marangoni R & Stano P (2016) From cells as computation to cells as apps. In: Gadducci F & Tavosanis M (eds.) History and Philosophy of Computing: Third International Conference, HaPoC 2015, Pisa, Italy, October 8-11, 2015, Revised Selected Papers. IFIP Advances in Information and Communication Technology, 487. Third International Conference on the History and Philosophy of Computing (HaPoC 2015), Pisa, Italy, 08.10.2015-11.10.2015. Cham, Switzerland: Springer, pp. 116-130. https://doi.org/10.1007/978-3-319-47286-7_8
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Distributed Reservoir Computing with Sparse Readouts
Scardapane S, Panella M, Comminiello D, Hussain A & Uncini A (2016) Distributed Reservoir Computing with Sparse Readouts. IEEE Computational Intelligence Magazine, 11 (4), pp. 59-70. https://doi.org/10.1109/MCI.2016.2601759
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Schnee LS, Knauth S, Hapca S, Otten W & Eickhorst T (2016) Analysis of physical pore space characteristics of two pyrolytic biochars and potential as microhabitat. Plant and Soil, 408 (1-2), pp. 357-368. https://doi.org/10.1007/s11104-016-2935-9
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Quality Scalability Aware Watermarking for Visual Content
Bhowmik D & Abhayaratne C (2016) Quality Scalability Aware Watermarking for Visual Content. IEEE Transactions on Image Processing, 25 (11), pp. 5158-5172. https://doi.org/10.1109/tip.2016.2599785
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Global motion compensated visual attention-based video watermarking
Oakes M, Bhowmik D & Abhayaratne C (2016) Global motion compensated visual attention-based video watermarking. Journal of Electronic Imaging, 25 (6), Art. No.: 061624. https://doi.org/10.1117/1.jei.25.6.061624
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Genetic improvement: A key challenge for evolutionary computation
Langdon WB & Ochoa G (2016) Genetic improvement: A key challenge for evolutionary computation. In: 2016 IEEE Congress on Evolutionary Computation, CEC 2016. 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 24.07.2016-29.07.2016. Piscataway, NJ, USA: IEEE, pp. 3068-3075. https://doi.org/10.1109/CEC.2016.7744177
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Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection
Zhang Y, Cuyt A, Lee W, Lo Bianco G, Wu G, Chen Y & Li DD (2016) Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection. Optics Express, 24 (23), pp. 26777-26791. https://doi.org/10.1364/oe.24.026777
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Subaperture analysis of polarimetric SAR data for iceberg detection
Akbari V, Doulgeris AP & Brekke C (2016) Subaperture analysis of polarimetric SAR data for iceberg detection. In: IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 10.07.2016-15.07.2016. New Jersey: IEEE. https://doi.org/10.1109/igarss.2016.7730480
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Kaiser MS, Chowdhury ZI, Mamun SA, Hussain A & Mahmud M (2016) A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair. Cognitive Computation, 8 (5), pp. 946-954. https://doi.org/10.1007/s12559-016-9398-4
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Biologically Inspired Progressive Enhancement Target Detection from Heavy Cluttered SAR Images
Gao F, Ma F, Zhang Y, Wang J, Sun J, Yang E & Hussain A (2016) Biologically Inspired Progressive Enhancement Target Detection from Heavy Cluttered SAR Images. Cognitive Computation, 8 (5), pp. 955-966. https://doi.org/10.1007/s12559-016-9405-9
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On a strain-structured epidemic model
Farkas JZ & Calsina A (2016) On a strain-structured epidemic model. Nonlinear Analysis: Real World Applications, 31, pp. 325-342. https://doi.org/10.1016/j.nonrwa.2016.01.014
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Heuristic search for the coupled runway sequencing and taxiway routing problem
Benlic U, Brownlee A & Burke EK (2016) Heuristic search for the coupled runway sequencing and taxiway routing problem. Transportation Research Part C: Emerging Technologies, 71, pp. 333-355. https://doi.org/10.1016/j.trc.2016.08.004
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Advances in Brain-Inspired Cognitive Systems
Luo B, Hussain A, Mahmud M & Tang J (2016) Advances in Brain-Inspired Cognitive Systems. Cognitive Computation, 8 (5), pp. 795-796. https://doi.org/10.1007/s12559-016-9431-7
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Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning
Ullah A, Li J, Hussain A & Yang E (2016) Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning. Cognitive Computation, 8 (5), pp. 992-1005. https://doi.org/10.1007/s12559-016-9391-y
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Amin A, Anwar S, Adnan A, Nawaz M, Howard N, Qadir J, Hawalah AYA & Hussain A (2016) Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study. IEEE Access, 4, pp. 7940-7957. https://doi.org/10.1109/access.2016.2619719
Newspaper / Magazine
Ada Lovelace blazed a trail in science – we need more women to follow in her footsteps
Shankland C (2016) Ada Lovelace blazed a trail in science – we need more women to follow in her footsteps. The Conversation. 11.10.2016. https://theconversation.com/ada-lovelace-blazed-a-trail-in-science-we-need-more-women-to-follow-in-her-footsteps-66661
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A Multi-Agent Based Cooperative Approach to Scheduling and Routing
Martin S, Ouelhadj D, Beullens P, Ozcan E, Juan AA & Burke EK (2016) A Multi-Agent Based Cooperative Approach to Scheduling and Routing. European Journal of Operational Research, 254 (1), pp. 169-178. https://doi.org/10.1016/j.ejor.2016.02.045
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Structure Discovery in Mixed Order Hyper Networks
Swingler K (2016) Structure Discovery in Mixed Order Hyper Networks. Big Data Analytics, 1 (1), Art. No.: 8. https://doi.org/10.1186/s41044-016-0009-x
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A fast algorithm for calculating an expected outbreak size on dynamic contagion networks
Enright J & Kao RR (2016) A fast algorithm for calculating an expected outbreak size on dynamic contagion networks. Epidemics, 16, pp. 56-62. https://doi.org/10.1016/j.epidem.2016.05.002
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Wang M, Wright J, Brownlee A & Buswell R (2016) A comparison of approaches to stepwise regression on variables sensitivities in building simulation and analysis. Energy and Buildings, 127, pp. 313-326. https://doi.org/10.1016/j.enbuild.2016.05.065
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Scott E, Hoyle A & Shankland C (2016) Process Algebra with Layers: A Language for Multi-scale Integration Modelling, Illustrated by a Cell Cycle and DNA Damage Case Study. In: Bracciali A & Caravagna G (eds.) Proceedings of Computational Intelligence Methods for Bioinformatics and Biostatistics. 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Stirling, 01.09.2016-03.09.2016. Stirling: 我要吃瓜, pp. 240-246. http://www.cs.stir.ac.uk/events/cibb2016/index.html
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Mort A, Eadie L, Regan L, Macaden A, Heaney D, Bouamrane M, Rushworth G & Wilson P (2016) Combining transcranial ultrasound with intelligent communication methods to enhance the remote assessment and management of stroke patients: Framework for a technology demonstrator. Health Informatics Journal, 22 (3), pp. 691-701. https://doi.org/10.1177/1460458215580353
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Learning latent features with infinite non-negative binary matrix tri-factorization
Yang X, Huang K, Zhang R & Hussain A (2016) Learning latent features with infinite non-negative binary matrix tri-factorization. In: Hirose A, Ozawa S, Doya K, Ikeda K, Lee M & Liu D (eds.) Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part I. Lecture Notes in Computer Science, 9947. ICONIP 2016: 23rd International Conference on Neural Information Processing, Kyoto, Japan, 16.10.2016-21.10.2016. Cham, Switzerland: Springer, pp. 587-596. https://doi.org/10.1007/978-3-319-46687-3_65
Conference Paper (published)
PWHATSHAP: efficient haplotyping for future generation sequencing
Bracciali A, Aldinucci M, Patterson M, Marschall T, Pisanti N, Merelli I & Torquati M (2016) PWHATSHAP: efficient haplotyping for future generation sequencing. In: Nonis A, Di Serio C, Lio' P, Tagliaferri R & Rizzo R (eds.) volume 17. 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2014), Cambridge, UK, 26.06.2014-28.06.2014. BioMed Central. http://www.cussb.unisr.it/cibb2014/; https://doi.org/10.1186/s12859-016-1170-y
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HPC-GAP: engineering a 21st-century high-performance computer algebra system
Behrends R, Hammond K, Janjic V, Konovalov A, Linton S, Loidl H, Maier P & Trinder P (2016) HPC-GAP: engineering a 21st-century high-performance computer algebra system. Concurrency and Computation: Practice and Experience, 28 (13), pp. 3606-3636. https://doi.org/10.1002/cpe.3746
Conference Paper (published)
Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces
Adair J, Brownlee A & Ochoa G (2016) Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces. In: Angelov P, Gegov A, Jayne C & Shen Q (eds.) Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Advances in Intelligent Systems and Computing, 513. UKCI 2016 - 16th UK Workshop on Computational Intelligence, Lancaster, 07.09.2016-09.09.2016. London: Springer, pp. 287-307. https://doi.org/10.1007/978-3-319-46562-3_19
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A New Spatio-Temporal Saliency-Based Video Object Segmentation
Tu Z, Abel A, Zhang L, Luo B & Hussain A (2016) A New Spatio-Temporal Saliency-Based Video Object Segmentation. Cognitive Computation, 8 (4), pp. 629-647. https://doi.org/10.1007/s12559-016-9387-7
Article
A Compact Digital Gamma-tone Filter Processor
Rojo-Hernandez A, Sanchez-Rivera G, Avalos-Ochoa G, Perez-Meana H & Smith LS (2016) A Compact Digital Gamma-tone Filter Processor. Microprocessors and Microsystems, 45 (Part A), pp. 216-225. https://doi.org/10.1016/j.micpro.2016.05.010
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Tunnelling Crossover Networks for the Asymmetric TSP
Veerapen N, Ochoa G, Tinós R & Whitley D (2016) Tunnelling Crossover Networks for the Asymmetric TSP. In: Handl J, Hart E, Lewis P, Lopez-Ibanez M, Ochoa G & Paechter B (eds.) Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Lecture Notes in Computer Science, 9921. PPSN2016 - 14th International Conference on Parallel Problem Solving from Nature, Edinburgh, 17.09.2016-21.09.2016. Cham, Switzerland: Springer, pp. 994-1003. https://doi.org/10.1007/978-3-319-45823-6_93
Article
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
Dashtipour K, Poria S, Hussain A, Cambria E, Hawalah AYA, Gelbukh A & Zhou Q (2016) Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques. Cognitive Computation, 8 (4), pp. 757-771. https://doi.org/10.1007/s12559-016-9415-7
Article
From Spin to Swindle: Identifying Falsification in Financial Text
Minhas S & Hussain A (2016) From Spin to Swindle: Identifying Falsification in Financial Text. Cognitive Computation, 8 (4), pp. 729-745. https://doi.org/10.1007/s12559-016-9413-9
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Bate AM, Jones G, Kleczkowski A, MacLeod A, Naylor R, Timmis J, Touza J & White PCL (2016) Modelling the impact and control of an infectious disease in a plant nursery with infected plant material inputs. Ecological Modelling, 334, pp. 27-43. https://doi.org/10.1016/j.ecolmodel.2016.04.013
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Metaheuristic Design Pattern: Surrogate Fitness Functions
Brownlee A, Woodward J & Swan J (2016) Metaheuristic Design Pattern: Surrogate Fitness Functions. In: Silva S (ed.) GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO 2015: Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, 11.07.2015-15.07.2015. New York: ACM, pp. 1261-1264. https://doi.org/10.1145/2739482.2768499
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Communities of Local Optima as Funnels in Fitness Landscapes
Herrmann S, Ochoa G & Rothlauf F (2016) Communities of Local Optima as Funnels in Fitness Landscapes. In: Friedrich T (ed.) Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20 - 24, 2016. GECCO 16: Genetic and Evolutionary Computation Conference 2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 325-331. https://doi.org/10.1145/2908812.2908818
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Opportunistic native multicast under churn
Alwadani D, Kolberg M & Buford J (2016) Opportunistic native multicast under churn. In: Proceedings of 2016 SAI Computing Conference, SAI 2016. 2016 SAI Computing Conference (SAI), London, 13.07.2016-15.07.2016. Piscataway, NJ, USA: IEEE, pp. 644-648. https://doi.org/10.1109/SAI.2016.7556050
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Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic
Akbari V, Anfinsen SN, Doulgeris AP, Eltoft T, Moser G & Serpico SB (2016) Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic. IEEE Transactions on Geoscience and Remote Sensing, 54 (7), pp. 3953-3966. https://doi.org/10.1109/tgrs.2016.2532320
Newspaper / Magazine
Why everyone should have to learn computer programming
Woodward J & Fayed M (2016) Why everyone should have to learn computer programming. The Conversation. 13.07.2016. https://theconversation.com/why-everyone-should-have-to-learn-computer-programming-62328
Other
Who will be first to get Gold?
Shankland C (2016) Who will be first to get Gold?. ITNOW, 58 (2), pp. 14-15. http://itnow.oxfordjournals.org/content/58/2/14.abstract
Conference Paper (published)
A Dynamic Game of Mobile Agent Placement in a MANET
Gromova E, Gromov D, Timonin N, Kirpichnikova A & Blakeway S (2016) A Dynamic Game of Mobile Agent Placement in a MANET. In: 2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS). 2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS), Riga, Latvia, 01.06.2016-03.06.2016. unpublished: IEEE. https://doi.org/10.1109/sims.2016.25
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An Analysis of MANET Routing Protocol Performance for an Interactive User Engaging Quiz
Walton J, Blakeway S & Kirpichnikova A (2016) An Analysis of MANET Routing Protocol Performance for an Interactive User Engaging Quiz. In: 2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS). 2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS), Riga, Latvia, 01.06.2016-03.06.2016. Piscataway, NJ, USA: IEEE, pp. 147-152. https://doi.org/10.1109/sims.2016.24
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Grammar-based generation of variable-selection heuristics for constraint satisfaction problems
Sosa-Ascencio A, Ochoa G, Terashima-Marin H & Conant-Pablos SE (2016) Grammar-based generation of variable-selection heuristics for constraint satisfaction problems. Genetic Programming and Evolvable Machines, 17 (2), pp. 119--144. https://doi.org/10.1007/s10710-015-9249-1
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Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis
Ofek N, Poria S, Rokach L, Cambria E, Hussain A & Shabtai A (2016) Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis. Cognitive Computation, 8 (3), pp. 467-477. http://link.springer.com/article/10.1007/s12559-015-9375-3; https://doi.org/10.1007/s12559-015-9375-3
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Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games
Li J, Kendall G & John R (2016) Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games. IEEE Transactions on Evolutionary Computation, 20 (3), pp. 460-469. https://doi.org/10.1109/TEVC.2015.2490076
Presentation / Talk
Gamification for public engagement with invasive tree pests and diseases
Maharaj S, Jones G, Greene P & Docherty C (2016) Gamification for public engagement with invasive tree pests and diseases. First International European Citizen Science Association (ESCA) Conference 2016: Citizen Science - Innovation in Open Science, Society and Policy, Berlin, 19.05.2016-21.05.2016.
Article
Exploring conflicts in rule-based Sensor Networks
Magill E & Blum J (2016) Exploring conflicts in rule-based Sensor Networks. Pervasive and Mobile Computing, 27, pp. 133-154. https://doi.org/10.1016/j.pmcj.2015.08.005
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Pointwise and pairwise clothing annotation: combining features from social media
Nogueira K, Veloso AA & dos Santos JA (2016) Pointwise and pairwise clothing annotation: combining features from social media. Multimedia Tools and Applications, 75 (7), pp. 4083-4113. https://doi.org/10.1007/s11042-015-3087-2
Other
Using mathematics at AIM to outwit mosquitoes
Farkas JZ, Gourley S, Liu R & Yakubu A (2016) Using mathematics at AIM to outwit mosquitoes. Notices of the American Mathematical Society, 63 (3), pp. 292-293. http://www.ams.org/journals/notices/201603/201603-full-issue.pdf
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Varley A, Tyler A, Smith L, Dale P & Davies M (2016) Mapping the spatial distribution and activity of 226Ra at legacy sites through Machine Learning interpretation of gamma-ray spectrometry data. Science of the Total Environment, 545-546, pp. 654-661. https://doi.org/10.1016/j.scitotenv.2015.10.112
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A Probabilistic Model for Vehicle Scheduling Based on Stochastic Trip Times
Shen Y, Xu J & Li J (2016) A Probabilistic Model for Vehicle Scheduling Based on Stochastic Trip Times. Transportation Research - Part B - Methodological, 85, pp. 19-31. https://doi.org/10.1016/j.trb.2015.12.016
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Eigenvalue multiplicity in triangle-free graphs
Rowlinson P (2016) Eigenvalue multiplicity in triangle-free graphs. Linear Algebra and Its Applications, 493, pp. 484-493. https://doi.org/10.1016/j.laa.2015.12.012
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Deconstructing the Big Valley Search Space Hypothesis
Ochoa G & Veerapen N (2016) Deconstructing the Big Valley Search Space Hypothesis. In: Chicano F, Hu B & García-Sánchez P (eds.) Evolutionary Computation in Combinatorial Optimization: 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings. Lecture Notes in Computer Science, 9595. 16th European Conference on Evolutionary Computation in Combinatorial Optimisation, EvoCOP 2016, Porto, Portugal, 30.03.2016-01.04.2016. Cham, Switzerland: Springer International Publishing, pp. 58-73. http://link.springer.com/chapter/10.1007%2F978-3-319-30698-8_5; https://doi.org/10.1007/978-3-319-30698-8_5
Article
Cook D, Aurambout J, Villalta O, Liu S, Edwards J & Maharaj S (2016) A bio-economic 'war game' model to simulate plant disease incursions and test response strategies at the landscape scale. Food Security, 8 (1), pp. 37-48. https://doi.org/10.1007/s12571-015-0524-z
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A Power-Efficient Capacitive Read-Out Circuit with Parasitic-Cancellation for MEMS Cochlea Sensors
Wang S, Koickal TJ, Hamilton A, Mastropaolo E, Cheung R, Abel A, Smith L & Wang L (2016) A Power-Efficient Capacitive Read-Out Circuit with Parasitic-Cancellation for MEMS Cochlea Sensors. IEEE Transactions on Biomedical Circuits and Systems, 10 (1), pp. 25-37. https://doi.org/10.1109/TBCAS.2015.2403251
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Macpherson M, Davidson RS, Duncan DB, Lurz PW, Jarrott A & White A (2016) Incorporating habitat distribution in wildlife disease models: conservation implications for the threat of squirrelpox on the Isle of Arran. Animal Conservation, 19 (1), pp. 3-14. https://doi.org/10.1111/acv.12219
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Structured Peer-to-Peer Overlay Deployment on MANET: A Survey
Al Mojamed M & Kolberg M (2016) Structured Peer-to-Peer Overlay Deployment on MANET: A Survey. Computer Networks, 96, pp. 29-47. https://doi.org/10.1016/j.comnet.2015.12.007
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Enright J & Kao RR (2016) A descriptive analysis of the growth of unrecorded interactions amongst cattle-raising premises in Scotland and their implications for disease spread. BMC Veterinary Research, 12, Art. No.: 37. https://doi.org/10.1186/s12917-016-0652-5
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